An FPGA-based 77 GHZ MEMS radar signal processing system for automotive collision avoidance
Bibliographic record
Abstract
An FPGA implemented signal processing algorithm to determine the range and velocity of targets using a MEMS based FMCW 77 GHz long range automotive radar has been presented. The MEMS radar uses two MEMS SP3T RF switches, two microfabricated Rotman lenses and two microstrip antenna arrays in addition to other microelectronic components to realize a directional beam that can scan the target area with a 6.8 ms cycle time. By sequencing the FMCW signal through the 3 beamport of the Rotman lens, the beam can be steered by ±4 degrees. The developed signal processing and control algorithm has been implanted in a Xilinx Virtex 5 FPGA. A worst case range accuracy of ±0.25m and velocity accuracy of ±0.83 m/s has been achieved which is better than the state-of-the art Bosch LRR3 radar sensor.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".